The Impact of Oil Price Shocks on the Returns in China’s Stock Market

The main goal of this paper is to study the relationship between oil price shocks and mainland China’s stock market. From empirical study, we have found that the impact of oil price shocks on stock prices in China has been mixed. In contrast to the conventional wisdom that higher oil prices may cause lower stock prices, positive shocks to oil-market-specific demand resulted in both higher real oil prices and higher stock prices, which helps explain the boom of the Chinese stock market as oil prices were increasing in 2007. However, global oil demand and supply shocks had no significant effects.     

Oil prices,US stock return,and the dependence between their quantiles

In this article, we examine the relationship between oil prices and US equities by proposing a novel quantile-on-quantile (QQ) approach to construct estimates of the effect that the quantiles of oil price shocks have on the quantiles of the US stock return. This approach captures the dependence between the distributions of oil price shocks and the US stock return and uncovers two nuance features in the oil–stock relationship. First, large, negative oil price shocks (i.e. low oil price shock quantiles) can affect US equities positively when the US market is performing well (i.e. at high US return quantiles). Second, while negative oil price shocks could affect the US stock market, the influence of positive oil price shocks is weak, which suggests that the relationship between oil prices on the US equities is asymmetric.     

Asymmetric volatility spillover among Chinese sectors during COVID-19

Inter-sectoral volatility linkages in the Chinese stock market are understudied, especially asymmetries in realized volatility connectedness, accounting for the catastrophic event associated with the COVID-19 outbreak. In this paper, we examine the asymmetric volatility spillover among Chinese stock market sectors during the COVID-19 pandemic using 1-min data from January 2, 2019 to September 30, 2020. In doing so, we build networks of generalized forecast error variances by decomposition of a vector autoregressive model, controlling for overall market movements. Our results show evidence of the asymmetric impact of good and bad volatilities, which are found to be time-varying and substantially intense during the COVID-19 period. Notably, bad volatility spillover shocks dominate good volatility spillover shocks. The findings are useful for Chinese investors and portfolio managers constructing risk hedging portfolios across sectors and for Chinese policymakers monitoring and crafting stimulating policies for the stock market at the sectoral level.     

基于Copula函数的国际原油价格与股票市场收益的相关性研究

针对国际原油价格与金砖五国股票市场收益之间的相关性问题,使用 AR(p)-GARCH(1,1)-Copula 模型进行检验。运用广义误差分布(GED)获取收益残差序列,对 WTI 原油价格和金砖五国股市收益之间的相关性进行实证分析。研究结果表明,国际原油价格与中国股市收益呈现微弱的相关关系,而与其他四国股市收益的相关关系较为明显。用时变 SJC Copula 模型刻画国际原油价格与金砖五国股票市场收益的相关性最为合适。     

Asymmetric Impact of Oil Price Shock on Stock Market in China: A Combination Analysis Based on SVAR Model and NARDL Model

This article integrates the SVAR model and nonlinear ARDL (NARDL) model to analyze the long-run and short-run asymmetric effect of structural oil price shocks on the Chinese stock market. We reveal that the demand-side shocks of oil price have a significant impact on the Chinese stock market in both short and long run, but the supply shock is an exception. In terms of asymmetric nature, there is no evidence of asymmetric impact when it refers to the supply shock and the oil-specific demand shock on stock market, and only the aggregate demand shock has asymmetric effect in short run.     

石油价格与股票市场的溢出效应——基于中美数据的比较分析

本文以中美股票市场和国际原油市场的数据为样本,用VAR模型和二元GARCH模型研究了中美股市价格和国际石油价格的收益率及波动的溢出效应。研究结果表明,中国股市价格和国际石油价格之间,既不存在任何方向的收益率溢出效应,也不存在任何方向的波动溢出效应;而国际石油价格的变化率对于美国股市收益率确有负向先导作用,并且两者之间具有双向的波动溢出。     

Asymmetric volatility spillovers between economic policy uncertainty and stock markets: Evidence from China

This study explores the spillovers between economic policy uncertainty (EPU) and stock market realized volatility (RV). The monthly index of Chinese and US EPU and RV are used to analyze the pairwise directional spillovers. We find that RV is a net receiver that is more vulnerable to shocks from U.S. EPU than to shocks from Chinese EPU. We further decompose the RV into good and bad volatility to test the asymmetric spillover effect between the stock market and EPU. The results suggest that EPU has a bigger effect on bad volatility in the stock market throughout most of the sample period. However, we find that good volatility spillovers become larger during periods of stimulated reform, whereas bad volatility spillovers become larger during periods of international disputes. We show that Chinese stock market volatility is sensitive to both U.S. and Chinese EPU and that the spillover is asymmetric in different periods.     

Oil shocks and stock markets: Dynamic connectedness under the prism of recent geopolitical and economic unrest

In this study we examine the dynamic structural relationship between oil price shocks and stock market returns or volatility for a sample of both net oil–exporting and net oil–importing countries between 1995:09 and 2013:07. We accomplish that, by extending the Diebold and Yilmaz (2014) dynamic connectedness measure using structural forecast error variance decomposition. The results for both stock market returns and volatility suggest that connectedness varies across different time periods, and that this time–varying character is aligned with certain developments that take place in the global economy. In particular, aggregate demand shocks appear to act as the main transmitters of shocks to stock markets during periods characterised by economic–driven events, while supply–side and oil–specific demand shocks during periods of geopolitical unrest. Furthermore, differences regarding the directions and the strength of connectedness can be reported both between and within the net oil–importing and net oil–exporting countries. These results are of particular importance to investors and portfolio managers, given the recent financialisation of the oil market.     

Time-varying impacts of demand and supply oil shocks on correlations between crude oil prices and stock markets indices

This paper investigates the time-varying impacts of demand and supply oil shocks on correlations between changes in crude oil prices and stock markets returns. The findings, obtained by means of a DCC-GARCH from June 2006 to June 2016, indicate that demand shocks positively affected the correlations between crude oil prices and stock market returns from late 2007 to mid-2008, during the apex of the financial markets volatility; from early 2009 to mid-2013, during global economy recovery from the financial crisis; and after 2015, when uncertainties about the Chinese growth and the US economy upturning arose. The dynamic conditional correlation, obtained after the removal of demand shocks effects, presented an average value of 0.13 when all economy sectors were considered and of 0.03 when the energy sector returns were excluded from the stock index. These correlations, still positive on average, suggest that exogenous supply oil shocks had little impact on US mainly enterprises cash flows over the last 10 years. Exceptions are the periods from 2006 to financial crisis and from 2014 until April 2016, when significant and unpredicted changes in oil market happened, considerably affecting the value of the main US companies.     

Oil price shocks and the US stock market: A nonlinear approach

We study the response of US stock market returns to oil price shocks and to what extent it behaves asymmetrically over the different phases of the business cycle. For this purpose, we decompose the oil price changes into supply and demand shocks in the oil market and assess the state-dependent dynamics of structural shocks on US stock returns using a smooth transition vector autoregression model. When nonlinearity is considered, quantitatively very different asymmetric dynamics are observed. Our findings show that the responses of US stock returns to disaggregated shocks are asymmetric over the business cycle and that the impact of demand-driven shocks on US stock returns is stronger and more persistent, especially when economic activity is depressed. Furthermore, the contribution of shocks to expectation-driven precautionary demand in recessions accounts for a larger share of the variability of US stock market returns than that predicted by standard linear vector autoregressions.     

Oil shocks and stock market volatility of the BRICS: A GARCH-MIDAS approach

In this study, we employ the GARCH–MIDAS (Generalised Autoregressive Conditional Heteroskedasticity variant of Mixed Data Sampling) model to investigate the response of stock market volatility of the BRICS group of countries (Brazil, Russia, India, China, and South Africa) to oil shocks. We utilise the recent datasets of Baumeister & Hamilton (2019), where oil shocks are decomposed into four variants: oil supply shocks, economic activity shocks, oil consumption shocks, and oil inventory shocks. We further decompose each of these shocks into positive and negative shocks, and our findings show heterogeneous response of stock market volatility of the BRICS countries to the alternative oil shocks, including positive and negative shocks. The differing responses across the BRICS countries could be attributed to differences in the economic size, oil production, and consumption profile of the countries, market share distribution across firms, and financial system and regulation efficiency.     

Oil price and stock market co-movement: What can we learn from time-scale approaches?

This paper study the relationship between oil and stock markets in G7 countries, by distinguishing between interactions based on fundamentals (long-term interdependence: high memory impact) and contagion (short-term interaction: transitory contamination). To do this, we propose in the first time two complementary frequency approaches based: the evolutionary co-spectral analysis and the wavelet approach allowing a time-varying measure of the dynamic correlation between the oil and stock markets over time and across time horizons. We find that interdependence between oil price and the stock market is more pronounced in the short and medium terms than in the long term. In addition, we prove that stock markets are more sensitive to oil shocks originating from demand shocks. These findings provide important policy implications for both policymakers, in terms of taking relevant actions regarding oil shocks originating from the demand side, and investors, in terms of a policy of diversification that depends on horizons.     

Crude oil shocks and African stock markets

In this paper, we investigate the impact of crude oil shocks on selected African stock markets using a Structural Vector Autoregressive model and a two-state regime smooth transition regression framework on monthly data from January 2000 to July 2018. The study is timely given the fast-growing energy sector and stock markets in Africa as well as the place of Africa in international trade. Selected markets are classified into oil-exporting (Nigeria, Tunisia, and Egypt) and oil-importing (Botswana, South Africa, Kenya, and Mauritius). The key findings are as follows: global demand shock does not really matter in oil-importing countries; there is little evidence that oil supply shock affects the real stock return for oil-exporting and oil-importing countries; oil-specific shock is significant for most countries investigated; negative price shocks have more impact than positive price shocks. The findings from this study have important implications for investors whose portfolios may comprise of assets from African stock markets and crude oil. Given the importance of oil in the global market, one would typically avoid equities that suffer from its shock. This study provides the indicators to inform that decision.     

How do oil supply and demand shocks affect Asian stock markets?

This paper examines how oil market shocks affect Asian stock prices using the structural vector autoregression (VAR) approach. Global oil supply and demand shocks are disentangled using sign restrictions and elasticity bounds. Oil price increases are bad news only if the source is from oil-market-specific demand shifts. Northeast Asian stock markets are more resilient as investors’ expectation of continued economic growth outweighs the adverse effect of higher oil prices. Increased global economic activity also stimulates stock prices. Global oil shocks are more important in explaining variability in Asian stock returns compared with the United States, suggesting different dynamics in Asia.     

Stock market synchronization and monetary integration

This paper focuses on the relationship between stock market comovements and monetary integration. A panel specification is used to explain bilateral stock market return correlations between fifteen developed economies over the period 1975-2006. Time fixed effects are included to capture global shocks and we also examine the role of bilateral trade linkages and international financial integration. Monetary integration leads to stronger stock market synchronization, both through the elimination of exchange rate volatility and through the common monetary policy and the convergence of inflation expectations. Trade and financial integration also contribute to higher stock market return comovements.     

Stock market comovements around the Global Financial Crisis: Evidence from the UK,BRICS and MIST markets

This paper analyses stock market co-movements around recent crises and explores the international portfolio diversification benefits available for UK investors holding a portfolio in the BRICS and MIST emerging markets. The application of conventional and regime-switch cointegration techniques suggests an absence of diversification benefits. Further evidence from application of a multivariate time-varying asymmetric model (i.e. AG-DCC) suggests that conditional correlation among the stock markets exhibits higher dependency when it is driven by negative shocks to the market. The asymmetric causality test provides supporting evidence of the decoupling hypothesis. The results indicate that the Chinese stock market is the most attractive option for the UK investor.     

Has Petroleum Pricing Reform in China Achieved Its Objective? An Empirical Study

China’s petroleum pricing reform has started since 1998 and is still ongoing. It has a profound impact on China’s oil market and even global oil market. We quantitatively evaluate the effectiveness of the reform on two key issues. Has the pricing reform strengthened the linkage between the international crude market and China’s petroleum products market? Has the pricing reform magnified shocks to the international crude market on China’s economy? Our results show that the reform has strengthened the relationship between China’s petroleum prices and international crude price without negative influence on China’s economy, but the effect of China’s petroleum prices on international crude price is still limited. Furthermore, the reform helps the Chinese government reduce oil subsidies.     

Oil and the Stock Markets

We test whether the reaction of international stock markets to oil shocks can be justified by current and future changes in real cash flows and/or changes in expected returns. We find that in the postwar period, the reaction of United States and Canadian stock prices to oil shocks can be completely accounted for by the impact of these shocks on real cash flows alone. In contrast, in both the United Kingdom and Japan, innovations in oil prices appear to cause larger changes in stock prices than can be justified by subsequent changes in real cash flows or by changing expected returns.     

Stock market liberalization and international risk sharing

This paper empirically examines what macroeconomic risks are shared (or not shared) internationally after stock market liberalization in several developing countries. To address this issue, we incorporate an international asset pricing model into a non-linear structural vector autoregression (VAR) system that identifies various sources of macroeconomic risks. We find that most of the risks corresponding to exogenous financial market shocks are surprisingly well shared, although other macroeconomic risks associated with exogenous shocks to output, inflation and monetary policies are not fully shared across countries. Our results suggest that one of the main benefits from stock market liberalization is to allow the countries studied in this paper to better hedge against exogenous and idiosyncratic financial market risks, and stock market liberalization needs to be accompanied by other measures of economic integration in order to achieve the full benefits of international risk sharing.     

Modelling dynamic dependence and risk spillover between all oil price shocks and stock market returns in the BRICS

This paper investigates the dynamic dependence and risk spillover between BRICS stock returns and different types of oil shocks, combining the Structural VAR model and time-varying copula-GARCH-based CoVaR approach. Our findings indicate that the dependence between BRICS stock returns and oil shocks is time-varying and exhibits different behaviours depending on the shock types in the oil market. In general, the shape of the CoVaRs in each country is comparatively different, depending on its special market situation and domestic policies. There is significant risk spillover from oil-specific demand shock to stock returns in all the BRICS countries. Finally, in Brazil, Russia and India, there is a significant asymmetric effect between upside and downside risk spillover based on oil aggregate demand shock and oil-specific demand shock.